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Update app.py
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app.py
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import gradio as gr
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import os
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import subprocess
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import uuid
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# Auto-download model if missing
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if not os.path.exists("wav2lip_gan.pth"):
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os.system("wget https://huggingface.co/akhaliq/Wav2Lip/resolve/main/wav2lip_gan.pth")
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def generate(image, audio):
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uid = str(uuid.uuid4())
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image_path = f"{uid}.jpg"
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audio_path = f"{uid}.wav"
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output_path = f"{uid}_result.mp4"
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image.save(image_path)
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audio.save(audio_path)
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command = f"python inference.py --checkpoint_path wav2lip_gan.pth --face {image_path} --audio {audio_path} --outfile {output_path}"
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subprocess.run(command.split())
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return output_path
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gr.Interface(
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fn=generate,
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inputs=[
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gr.Image(type="pil", label="Image"),
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gr.Audio(type="filepath", label="Audio (WAV only)")
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],
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outputs=gr.Video(label="Talking Video"),
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live=True,
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enable_queue=True
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).launch()
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